11 citations · 25 across the 5 of their papers we have counts for
5 papers
Graph Entropy Minimization for Semi-supervised Node Classification
Yi Luo, Guangchun Luo, Ke Qin +1
Node classifiers are required to comprehensively reduce prediction errors, training resources, and inference latency in the industry. However, most graph neural networks (GNN) conc…
QuatDE: Dynamic Quaternion Embedding for Knowledge Graph Completion
Haipeng Gao, Kun Yang, Yuxue Yang +3
Knowledge graph embedding has been an active research topic for knowledge base completion (KGC), with progressive improvement from the initial TransE, TransH, RotatE et al to the c…
Deep Neural Network Based Relation Extraction: An Overview
Hailin Wang, Ke Qin, Rufai Yusuf Zakari +2
Knowledge is a formal way of understanding the world, providing a human-level cognition and intelligence for the next-generation artificial intelligence (AI). One of the representa…
Self Attention Grid for Person Re-Identification
Jean-Paul Ainam, Ke Qin, Guisong Liu
In this paper, we present an attention mechanism scheme to improve person re-identification task. Inspired by biology, we propose Self Attention Grid (SAG) to discover the most inf…
Sparse Label Smoothing Regularization for Person Re-Identification
Jean-Paul Ainam, Ke Qin, Guisong Liu +1
Person re-identification (re-id) is a cross-camera retrieval task which establishes a correspondence between images of a person from multiple cameras. Deep Learning methods have be…